The PAVA Framework
The PAVA Framework is Growth.pro's four-pillar model for diagnosing and improving a brand's AI visibility, covering Presence, Authority, Visibility, and Amplification in sequence.
A score tells you where you stand. PAVA tells you why.
When someone asks AI about your category, the engine builds one answer before the buyer reaches your site. If you are absent or described inaccurately, you need to know the cause, not just a number that moved.
PAVA is a sequence, not a checklist. Each pillar depends on the one before it: if AI cannot resolve who you are (Presence), no amount of content will earn you authority or visibility, and visibility that never reaches demand is hard to defend in a budget review. PAVA orders the work so you fix the real constraint first.
It is one of Growth.pro’s frameworks, operationalised by Zicy, and it is built around measured outcomes rather than activity. See documented results on our case studies.
Four pillars, in sequence.
Presence
Is the brand entity clearly, consistently, and completely defined across every surface AI systems ingest? Gaps here mean AI cannot resolve the brand as a single coherent entity.
Fixes: Entity schema, llms.txt, NAP consistency, social handle standardisation.
Authority
Is the brand trusted and corroborated by independent third-party sources? AI systems weight entities that appear across multiple credible, non-self-referential sources.
Fixes: Earned media, partner mentions, citations, third-party directory listings, founder profiles.
Visibility
Does the brand appear in AI answers for the category queries its buyers actually ask? This is the measurement pillar: tracked prompts, mention coverage, share of voice, average AI ranking.
Fixes: Content aligned to answer-intent queries, topical authority, citation-worthy source trails.
Amplification
Does AI visibility translate to real demand? The proof pillar: AI-referred sessions, branded-search lift, answer-intent queries, and the correlation between winning AI answers and downstream commercial outcomes.
Each pillar maps to the platform.
Action Center
The schema generator and llms.txt builder, so the brand entity is machine-readable and consistent across the surfaces AI reads.
Citation Analysis + Content Generator
See which independent sources AI cites in the category, then produce citation-worthy content to earn more of them.
AI Visibility, Brand Intelligence + Competitive AI Performance
Mention coverage, citation rate, share of voice and average ranking across the five engines, with the AI Reality Score and your standing against named rivals.
Site Traffic
AI-referred sessions from GA4 and Search Console, tying winning the answer back to demand.
The framework, run for you.
Growth.pro applies PAVA through done-for-you programmes: full diagnostic, strategy, execution and governance across all four pillars. The Zicy platform puts the measurement and action layers in your hands; the managed service runs the whole sequence for teams that want the work done for them.
Questions about PAVA.
What does PAVA stand for?
PAVA stands for Presence, Authority, Visibility, and Amplification, the four sequential pillars of the framework Growth.pro uses to diagnose and improve a brand's AI visibility.
Who created the PAVA Framework?
Growth.pro created the PAVA Framework. It is the strategic and diagnostic model behind Growth.pro's AI visibility consultancy and managed-service programmes. Zicy, the platform built by Growth.pro, operationalises PAVA in software.
How is PAVA different from a standard SEO audit?
A standard SEO audit measures search-engine signals such as backlinks, page speed, and keyword rankings. PAVA measures the four signals that determine AI answer-engine visibility: whether the entity is clearly defined, whether it is independently corroborated, whether it appears in AI answers for buyer queries, and whether that visibility moves demand.
Can I use the PAVA Framework without Growth.pro?
Zicy's platform operationalises the measurement and action layers of PAVA as a self-serve tool. For a fully managed PAVA programme across all four pillars, Growth.pro runs done-for-you engagements for enterprise brands.
Where does the AI Reality Score fit in the PAVA Framework?
The AI Reality Score sits inside the Visibility pillar, it measures not just whether a brand appears in AI answers, but whether those answers describe the brand accurately. A high mention rate with a low AI Reality Score signals a Visibility problem of a specific kind: presence without accuracy.
Put PAVA to work on your brand.
Diagnose Presence, Authority, Visibility and Amplification across all five engines.